Data Analysis
Freemium
DataNormalizer is an AI tool designed for efficient data normalization, enabling users to clean inconsistencies in data within seconds using advanced AI technology. The tool is particularly useful for data analysts, data scientists, business analysts, database administrators (DBAs), and data engineers who need to ensure data consistency and quality across various platforms. Upon signing up, users can process up to 100 rows for free and receive 200 credits to streamline their data normalization tasks.
DataNormalizer supports multiple platforms, including Excel, Python, and SQL, making it versatile for different data environments. It offers features such as fuzzy matching using the Levenshtein distance model and fuzzy search capabilities to identify and resolve inconsistencies. Whether you are working with large datasets in Excel, cleaning data in Python scripts, or standardizing database records in SQL, DataNormalizer provides a seamless and efficient solution to improve data quality and accuracy.
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Normalize Data in Excel
Normalize Data in Python
Normalize Data in SQL
Fuzzy Match Levenshtein distance Model
Fuzzy Search Capabilities
Efficiently clean and standardize large datasets in Excel using DataNormalizer's AI technology, saving time and ensuring data consistency across all rows and columns.
Streamline the data cleaning process in Python by leveraging DataNormalizer to quickly identify and resolve inconsistencies, improving data quality and accuracy in scripts and applications.
Normalize and standardize database records in SQL effortlessly with DataNormalizer, ensuring seamless integration and consistency in data-driven operations and analytics.
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